Basic Information

Gene Symbol
-
Assembly
GCA_963924575.1
Location
OZ004619.1:14073822-14075420[-]

Transcription Factor Domain

TF Family
zf-C2H2
Domain
zf-C2H2 domain
PFAM
PF00096
TF Group
Zinc-Coordinating Group
Description
The C2H2 zinc finger is the classical zinc finger domain. The two conserved cysteines and histidines co-ordinate a zinc ion. The following pattern describes the zinc finger. #-X-C-X(1-5)-C-X3-#-X5-#-X2-H-X(3-6)-[H/C] Where X can be any amino acid, and numbers in brackets indicate the number of residues. The positions marked # are those that are important for the stable fold of the zinc finger. The final position can be either his or cys. The C2H2 zinc finger is composed of two short beta strands followed by an alpha helix. The amino terminal part of the helix binds the major groove in DNA binding zinc fingers. The accepted consensus binding sequence for Sp1 is usually defined by the asymmetric hexanucleotide core GGGCGG but this sequence does not include, among others, the GAG (=CTC) repeat that constitutes a high-affinity site for Sp1 binding to the wt1 promoter [1].
Hmmscan Out
# of c-Evalue i-Evalue score bias hmm coord from hmm coord to ali coord from ali coord to env coord from env coord to acc
1 12 0.00037 0.021 16.1 0.3 1 23 125 148 125 148 0.97
2 12 0.026 1.5 10.3 4.8 1 23 157 180 157 180 0.96
3 12 0.019 1.1 10.7 2.4 1 23 188 211 188 211 0.94
4 12 0.00043 0.025 15.9 2.4 1 23 218 241 218 241 0.97
5 12 0.0039 0.23 12.9 1.4 1 23 249 272 249 272 0.91
6 12 0.021 1.2 10.6 1.7 1 23 280 303 280 303 0.95
7 12 5.5e-05 0.0032 18.7 1.8 1 23 312 335 312 335 0.97
8 12 0.17 10 7.7 3.7 1 23 344 367 344 367 0.95
9 12 0.0007 0.041 15.2 1.2 1 23 376 399 376 399 0.97
10 12 0.0014 0.079 14.3 2.2 1 22 408 429 408 432 0.90
11 12 0.0014 0.083 14.3 1.8 1 23 441 464 441 464 0.97
12 12 0.0004 0.024 16.0 3.0 1 23 471 493 471 493 0.98

Sequence Information

Coding Sequence
ATGGATCCCTTCGTGGTGGATTTTTACGATGAAGTCGAGGAAGAAATGGACATTAAATTAGAACCGGAAGAGGTGAACATAAAACTAGAACCAAAGGAACAATTCAATTATGAAAATTCGGACGTGTACAATTCAAATGCAAAAGAGGAGACCACAAATTCTCccaacaaagaaaataaaaagaaaGTAAAAACAAATAAACCAAAGGAAGAATTCAATGACTTGCACGATTCAATCGCAAAAGAGGAGACAAATTCTCCCAACAAAGACAAAGAAATTAAAGATTTTAAACCTGAATGTTGCGAGAATTCTCCGAAAAAAAAGAGAAcaagaattaaaaaaataaaacgaGAAGCCTCTAGTGGACAACAATTTCAGTGTGCGACTTGCAATTCCATATTCAAATCAAAACGAGCCCTAATACAGCACATAAATATCTTACATTCCAATTCTGAGAAAACTAAATTGTTCTGTTGCGAGAAATGCGAATATAAAACAAAATATATTGGTAATTTTAGGCGACACATGAATAATTCGCATTCAACAGGGAAAGTAAAATGGTTCGAATGTGACGAATGTCACTACCAGTGTACCGCAAAGGCGTCGCTTGCGAGACACGTGGAGAACAAACATTTCGACCAAATAAAATGGTTCGAGTGTGACAAATGCGACTCGAAATTCAAGCACGAGGTCTCGCTAAAAGACCACATGGCCAGAAAACACTACGAAGGTCATCTTCAATGGTTCGAGTGCGCGCAATGTGATTACAAATCTACGGTAAAGAGCAATTTTAAGCGCCATGTAGTTTATACCCACCAAACTAGCGGAATCAAATGGTTCGAGTGTGATAAATGTAGTCACAAAAGCAAGGGCAAAGCCTCCCTTAAGAGCCACATAATTAATATGCATCTCAATCCGGAGGAGATTGACTGGTTTCAGTGCAAGCAGTGCGATTTCAAATTCAAGCAAAAGGGCAACCTTGACGTCCACGTAACCACTCAGCATCGAAATGAAGACGAAATCAAATGGTTTCACTGTGGAGAATGTGAGTTCAAAGGCAAAAGCAAACGTCATCTGAAAATTCACGCAAACGTGAAACACGCAAGTCTCGACAGGATAAAGTGGTTTAGGTGCgacaaatgcgactacaaaggcAAGACCAGGGCGACCTTGAAAGCGCATGTTAATAGTAAGCATACGAATGAAGATGAAGCCAAGTGGTTTGAATGTGACGAATGCTACTACAGAACTAGGCATAGGAGCAACTTAATAAGGCACAAGACAAAGGCTGCGCATCTGGACCAAGGCGAGGGAGAGTTGTTTCAGTGTGAGACGTGTGAgagcaaatttaacaaaaaaggCAGTCTGAAAACACACGTAGAGACGAAGCACGGAGATGAAGCCAAATGGTTCCAATGTGACAAATGTGAACGAAAATATCAGAGCAAATACGGCCTGAAGATGCACATGACTAAACACTTGAAAGAAGATGAAATTAGATGGTTTGAATGTGGGAAATTCGCTCTCAAGAGTCGTCTGAAAAGGCACATAGTTAATTTGCATCTAAATTCAAAGCATCAGGTGATCAGGGACCACTAG
Protein Sequence
MDPFVVDFYDEVEEEMDIKLEPEEVNIKLEPKEQFNYENSDVYNSNAKEETTNSPNKENKKKVKTNKPKEEFNDLHDSIAKEETNSPNKDKEIKDFKPECCENSPKKKRTRIKKIKREASSGQQFQCATCNSIFKSKRALIQHINILHSNSEKTKLFCCEKCEYKTKYIGNFRRHMNNSHSTGKVKWFECDECHYQCTAKASLARHVENKHFDQIKWFECDKCDSKFKHEVSLKDHMARKHYEGHLQWFECAQCDYKSTVKSNFKRHVVYTHQTSGIKWFECDKCSHKSKGKASLKSHIINMHLNPEEIDWFQCKQCDFKFKQKGNLDVHVTTQHRNEDEIKWFHCGECEFKGKSKRHLKIHANVKHASLDRIKWFRCDKCDYKGKTRATLKAHVNSKHTNEDEAKWFECDECYYRTRHRSNLIRHKTKAAHLDQGEGELFQCETCESKFNKKGSLKTHVETKHGDEAKWFQCDKCERKYQSKYGLKMHMTKHLKEDEIRWFECGKFALKSRLKRHIVNLHLNSKHQVIRDH

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
-